A Standards-based Semantic Metadata Repository to Support EHR-driven Phenotype Authoring and Execution

This study describes our efforts in developing a standards-based semantic metadata repository for supporting electronic health record (EHR)-driven phenotype authoring and execution. Our system comprises three layers: 1) a semantic data element repository layer; 2) a semantic services layer; and 3) a...

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Detalles Bibliográficos
Autores principales: Jiang, Guoqian, Solbrig, Harold R., Kiefer, Richard, Rasmussen, Luke V., Mo, Huan, Speltz, Peter, Thompson, William K., Denny, Joshua C., Chute, Christopher G., Pathak, Jyotishman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4898771/
https://www.ncbi.nlm.nih.gov/pubmed/26262397
Descripción
Sumario:This study describes our efforts in developing a standards-based semantic metadata repository for supporting electronic health record (EHR)-driven phenotype authoring and execution. Our system comprises three layers: 1) a semantic data element repository layer; 2) a semantic services layer; and 3) a phenotype application layer. In a prototype implementation, we developed the repository and services through integrating the data elements from both Quality Data Model (QDM) and HL7 Fast Healthcare Inteoroperability Resources (FHIR) models. We discuss the modeling challenges and the potential of our system to support EHR phenotype authoring and execution applications.

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